Blind deconvolution in autocorrelation inversion for multiview light-sheet microscopy.
Journal
Microscopy research and technique
ISSN: 1097-0029
Titre abrégé: Microsc Res Tech
Pays: United States
ID NLM: 9203012
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
revised:
17
12
2021
received:
06
10
2021
accepted:
09
02
2022
pubmed:
25
2
2022
medline:
26
5
2022
entrez:
24
2
2022
Statut:
ppublish
Résumé
Combining the information coming from multiview acquisitions is a problem of great interest in light-sheet microscopy. Aligning the views and increasing the resolution of their fusion can be challenging, especially if the setup is not fully calibrated. Here, we tackle these issues by proposing a new reconstruction method based on autocorrelation inversion that avoids alignment procedures. On top of this, we add a blind deconvolution step to improve the resolution of the final reconstruction. Our method permits us to achieve inherently aligned, highly resolved reconstructions while, at the same time, estimating the unknown point-spread function of the system. RESEARCH HIGHLIGHTS: We tackle the problem of multiview light-sheet deconvolution with a blind approach of autocorrelation inversion Our method recovers the object and PSF, requires no alignment and calibration, and enhances the reconstruction of the specimen.
Identifiants
pubmed: 35199902
doi: 10.1002/jemt.24085
pmc: PMC9306839
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2282-2291Subventions
Organisme : H2020 Excellent Science
ID : 871124
Organisme : H2020 Marie Skłodowska-Curie Actions
ID : 799230
Organisme : Horizon 2020
Organisme : Istituto Auxologico Italiano
Informations de copyright
© 2022 The Authors. Microscopy Research and Technique published by Wiley Periodicals LLC.
Références
Microsc Res Tech. 2022 Jun;85(6):2282-2291
pubmed: 35199902
Nat Methods. 2017 Mar 31;14(4):360-373
pubmed: 28362435
Nat Methods. 2014 Jun;11(6):645-8
pubmed: 24747812
Opt Lett. 2020 Apr 15;45(8):2191-2194
pubmed: 32287191
Dev Dyn. 1995 Jul;203(3):253-310
pubmed: 8589427
Nat Rev Neurosci. 2020 Feb;21(2):61-79
pubmed: 31896771
Sci Rep. 2021 Aug 3;11(1):15723
pubmed: 34344932
Development. 2009 Jun;136(12):1963-75
pubmed: 19465594
Nat Methods. 2010 Jun;7(6):417-8
pubmed: 20436474
Adv Biochem Eng Biotechnol. 2005;95:201-43
pubmed: 16080270
Development. 2012 Sep;139(17):3242-7
pubmed: 22872089
Nat Biotechnol. 2020 Nov;38(11):1337-1346
pubmed: 32601431
Opt Express. 2007 Jun 25;15(13):8029-42
pubmed: 19547131
Methods Protoc. 2019 Jul 05;2(3):
pubmed: 31284373
Sci Rep. 2020 Jul 29;10(1):12771
pubmed: 32728161
Biomed Opt Express. 2021 Dec 09;13(1):262-273
pubmed: 35154869
Dev Biol. 2002 Aug 15;248(2):307-18
pubmed: 12167406
Opt Lett. 2008 Jan 15;33(2):156-8
pubmed: 18197224
IEEE Trans Image Process. 2021;30:1332-1341
pubmed: 33315566
Nat Methods. 2012 Jun 28;9(7):656-7
pubmed: 22743768
Biotechnol J. 2018 Jan;13(1):
pubmed: 29168308
Biomed Opt Express. 2020 Jul 17;11(8):4397-4407
pubmed: 32923051
J Microsc. 2011 Aug;243(2):124-40
pubmed: 21323670